SKU: 51824429654

ARTIFICIAL INTELLIGENCE TOOLS: CLUSTERING AND PATTERN RECOGNITION WITH NEURAL NETWORKS.

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ARTIFICIAL INTELLIGENCE TOOLS: CLUSTERING AND PATTERN RECOGNITION WITH NEURAL NETWORKS.Artificial Intelligence combines mathematical algorithms and techniques from Machine Learning, Deep Learning and Big Data to extract the knowledge contained in the data and present it in an understandable and automatic way. Neural networks and their applications are a fundamental tool to develop work in Artificial Intelligence. The availability of large volumes of data and the generalized use of computer tools has transformed research and data

Artificial Intelligence combines mathematical algorithms and techniques from Machine Learning, Deep Learning and Big Data to extract the knowledge contained in the data and present it in an understandable and automatic way. Neural networks and their applications are a fundamental tool to develop work in Artificial Intelligence. The availability of large volumes of data and the generalized use of computer tools has transformed research and data analysis, orienting it towards certain specialized techniques encompassed under the generic name of Analytics that includes Multivariate Data Analysis (MDA), Data Mining, Machine Learning and other Business Intelligence techniques. Data Mining (or Machine Learning) can be defined as a process of discovering new and significant relationships, patterns and trends when examining large amounts of data. The techniques of Data Mining pursue the automatic discovery of the knowledge contained in the information stored in an orderly manner in large databases. These techniques aim to discover patterns, profiles and trends through the analysis of data using advanced statistical techniques of multivariate data analysis. Data Mining an Machine Learning uses two types of techniques: predictive techniques (supervised learnig techniques) , which trains a model on known input and output data so that it can predict future outputs, and descriptive techniques (unsupervised learning techniques), which finds hidden patterns or intrinsic structures in input data. Descriptive techniques finds hidden patterns or intrinsic structures in data. It is used to draw inferences from datasets consisting of input data without labeled responses. Clustering is the most common descriptive technique. It is used for exploratory data analysis to find hidden patterns or groupings in data. Applications for clustering include gene sequence analysis, market research, and object recognition. This book develops classification descriptive techniques with neural networks.

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SKU: 51824429654

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4.2 ★★★★★
Based on 26 reviews
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Verified Purchase
Joseph
Belleville, US
★★★★★ 5
Simpsons Library of Wisdom is always informative!!!!
Format: Hardcover
Cool book about Ralph Wiggum!!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 30, 2021
T
The Art and Making of
Lexington, US
★★★★★ 4
Another Great Addition To This Series!
Format: Hardcover
See video for review. (For a full flip through and in-depth review, follow the Youtube link on my Amazon profile).
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 10, 2018
E
Verified Purchase
Echobells
New York, US
★★★★★ 5
Great gift
Format: Hardcover
Its the best gift for a Simpsons lover!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 6, 2020
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Verified Purchase
Nancy Mielke
Louisville, US
★★★★★ 5
Good adventure book.
Format: Paperback
Great series . Fast moving and interesting plots and characters . Better if you read the series on order.
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Reviewed in the United States on April 25, 2026
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Verified Purchase
Dorothy Winsor
Los Angeles, US
★★★★★ 4
Fun puzzles, cliffhanger ending
Format: Kindle
If you’ve read the earlier books about the Hawthornes, you know that Avery Grambs, the heiress to the Hawthorne fortune, established an annual game of puzzles and riddle in which the winner would win a whole lot of money. This book is about one of those games. I finished this book late last night, and the first thing you need to know is that it ends in the middle of the game! Barnes calls this a new series, and obviously, it’s the kind of series in which books are tightly linked. The next book comes out next July. So forewarned. I found I had to concentrate at the book’s start because there’s a lot to sort out. There are 8 players, mostly new characters Hawthornes there, mostly in background with Grayson having a bigger role. There are also three points of view. So it took me quite a while to be sure I knew who was who and what their backstory was. I’m not actually sure I understand all of them even now, partly because Barnes withholds some information for the next book Still, page by page, I enjoyed this book. I liked solving the puzzles and was pleased with myself when I did it faster than the characters did though that wasn’t as often as I’d like. The books takes place over 2 days, I think, but there’s some insta-attraction I guess, which is interesting. The ending was unsatisfactory for me, and Barnes obviously intended it to be that way. I’ll undoubtedly pick up the second book next year, but I’ll have to reread this one to have any hope of following it.
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Reviewed in the United States on August 15, 2024

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